Development and testing of a food frequency recall instrument for describing dietary patterns in adults and teenagers

Gallagher, Margie Lee; Farrior, E.S.; Broadhead, Laura; Gillette, Lorna S.; Rowe, Marilyn L.; Somes, Grant W.; West, Patricia M.; Kolasa, Kathryn M.

doi:10.1016/s0271-5317(05)80439-7

Cited by 8 publications

(6 citation statements)

References 29 publications

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“…The 2 dietary patterns we observed resemble those from other principal components analysis-based studies in the US (10)(11)(12)(15)(16)(17)(18), Canada (l9,20) ,and Great Britain (21,22). As in our analysis, other studies found vegetable-rich dietarypat- aAlilogistic regression models were for polychotomous outcomes (odds of being in either lowest or highest quartiles) and included age, sex, and geographic region, Odds ratios for dichotomous characteristics were modeled for yes vs no, Odds ratios for polychotomous characteristics were modeled with lowest category as referent (14), bOdds ratios for age are for 10-year increment.…”

Section: Resultssupporting

confidence: 76%

Fundamental Dietary Patterns and Their Correlates Among US Whites

Tseng¹,

DeVellis²

2001

Journal of the American Dietetic Association

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A social history of eating habits in the United States (1) suggests that there are 2 fundamental US dietary patterns. The first, characterized by beef or pork, white flour bread, and potato consumption, is grounded in British culinary heritage. The second, characterized by fruits and vegetables consumed as "protective" foods, that is, to avoid illness, is a result of the development of nutrition science, the growth of food and advertisingindustries, and efforts of World War I food conservation programs. To confirm the occurrence of these 2 dietary patterns and their sociodemographic and lifestyle correlates, we used principal components analysis on data collected from white participants in a large, national US survey.

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Section: Resultssupporting

confidence: 76%

Fundamental Dietary Patterns and Their Correlates Among US Whites

Tseng¹,

DeVellis²

2001

Journal of the American Dietetic Association

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“…Even with differences in the methods used for data collection and analysis, this is in the range of other studies. 1,[3][4][5][6][7][8][9] The food patterns themselves vary in each study and are generally different from those we identified. This is expected, considering the different populations, their culture and food habits.…”

Section: Discussionmentioning

confidence: 99%

“…Given that many combinations of foods can lead to an adequate diet and that nutrients do not normally occur in isolation, there is increasing interest in examining patterns of food intake as opposed to intakes of individual nutrients or of groups of nutrients. [1][2][3][4][5][6][7][8][9][10] A better understanding of such patterns in different populations could be useful for health promotion as well as for estimating risks.…”

mentioning

confidence: 99%

Dietary Patterns of Adults in Québec and their Nutritional Adequacy

Beaudry

Galibois

Chaumette

1998

Can J Public Health

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“…Recalls are also likely to share some of the problems associated with the diet history in relation to estimation of portion size, socialdesirability responding and retrieval of information from memory. The literature on the use of FFQ in children and adolescents has been sparse, subject only to relative validity checks and yielding inconsistent results that are difficult to interpret (Blom et al 1989;Jenner et al 1989;Frank et al 1992;Gallagher et al 1993;Hammond et al 1993;Domel et al 1994a;Rockett et al 1995;Frost Andersen et al 1995). In addition, little attention has focused on deciding what foods should be included in a FFQ for these age-groups.…”

Section: Older Children and Adolescentsmentioning

confidence: 99%

Measurement of dietary intake in children

2000

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When children and adolescents are the target population in dietary surveys many different respondent and observer considerations surface. The cognitive abilities required to self-report food intake include an adequately developed concept of time, a good memory and attention span, and a knowledge of the names of foods. From the age of 8 years there is a rapid increase in the ability of children to self-report food intake. However, while cognitive abilities should be fully developed by adolescence, issues of motivation and body image may hinder willingness to report. Ten validation studies of energy intake data have demonstrated that mis-reporting, usually in the direction of under-reporting, is likely. Patterns of under-reporting vary with age, and are influenced by weight status and the dietary survey method used. Furthermore, evidence for the existence of subject-specific responding in dietary assessment challenges the assumption that repeated measurements of dietary intake will eventually obtain valid data. Unfortunately, the ability to detect mis-reporters, by comparison with presumed energy requirements, is limited unless detailed activity information is available to allow the energy intake of each subject to be evaluated individually. In addition, high variability in nutrient intakes implies that, if intakes are valid, prolonged dietary recording will be required to rank children correctly for distribution analysis. Future research should focus on refining dietary survey methods to make them more sensitive to different ages and cognitive abilities. The development of improved techniques for identification of mis-reporters and investigation of the issue of differential reporting of foods should also be given priority.

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Development and testing of a food frequency recall instrument for describing dietary patterns in adults and teenagers

Cited by 8 publications

References 29 publications

Fundamental Dietary Patterns and Their Correlates Among US Whites

Fundamental Dietary Patterns and Their Correlates Among US Whites

Dietary Patterns of Adults in Québec and their Nutritional Adequacy

Measurement of dietary intake in children

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